Senior Deep Learning Frameworks Sustaining Engineer
Company websitenvidia.com (NVIDIA, opens in new tab)
Base salary $152,000 to $287,500
Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSanta Clara, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (57 min ago) · observed since
About this job
NVIDIA is hiring software engineers for its Deep Learning Frameworks Sustaining Engineering team. Our team produces software that's powering a revolution in deep learning, enabling breakthroughs in problems from image classification to speech recognition to natural language processing! Help us build software which will be used by the entire world by working directly with deep learning framework developers by integrating with open source code bases.
What you'll be doing:
In this role, responsibilities will include back-porting changes from the mainline branch, keeping track of open source dependency changes, and ensuring the latest stable dependencies are being used for our enterprise products. You will actively contribute changes to the team to support timely Long Term Support releases for the TensorFlow, PyTorch, TensorRT products. The scope of these efforts includes fixing customer reported bugs, integrating bug fixes found in mainline and working with other teams to ensure open source dependencies are patched for security vulnerabilities to address the needs of NVIDIA AI Enterprise business subscribers.
What we need to see:
Bachelors of Science in Computer Science, Deep Learning, Artificial Intelligence, Applied Math, or related field or equivalent experience.
5+ years of relevant software development experience
Excellent C/C++ programming and software design skills, including debugging and open source integration. Python experience also helpful.
Utilizing tools involved in building software (Make, Docker, Bazel), packaging systems (Debian, pip, npm, etc.), Build Systems (Gitlab, CI/Jenkins).
Prior experience with machine learning algorithms and frameworks (TensorFlow, PyTorch, or MXNet).
Ability to work independently, contribute to the stability of releases, and effectively communicate status to those involved in the release in a detail-oriented way.
Ways to stand out from the crowd:
GPU programming experience (CUDA or OpenCL) desired but not required
Experience with contributions to or managing large open source project - use of github, bug tracking, branching and merging code, OSS licensing issues, managing patches, etc.
Familiarity with Gitlab CI pipelines
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Source: NVIDIA on Workday · View original posting (opens in new tab)
Pay in context
This role's base floor ($152,000) is above 21% of the 1,463 Data & ML roles in California listed on this site; 19 others list the same floor. Their median floor is $190,000; the middle half runs from $160,000 to $229,900.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 5, 2026.
This listingSenior Deep Learning Frameworks Sustaining Engineer$152,000 to $287,500
Senior Networking Architect$152,000 to $287,500
Solutions Architect, AI and ML$152,000 to $287,500
Infrastructure Solutions Architect - OEM$152,000 to $287,500
Senior Software Engineer, CUTLASS Performance$152,000 to $287,500
Senior Software Engineer - Distributed Systems Engineer, EDA Infrastructure$152,000 to $287,500
Senior Graphics Driver Engineer$152,000 to $241,500
Chart as a table
| Role | Published base |
|---|---|
| Senior Deep Learning Frameworks Sustaining Engineer (this listing) | $152,000 - $287,500 |
| Senior Networking Architect | $152,000 - $287,500 |
| Solutions Architect, AI and ML | $152,000 - $287,500 |
| Infrastructure Solutions Architect - OEM | $152,000 - $287,500 |
| Senior Software Engineer, CUTLASS Performance | $152,000 - $287,500 |
| Senior Software Engineer - Distributed Systems Engineer, EDA Infrastructure | $152,000 - $287,500 |
| Senior Graphics Driver Engineer | $152,000 - $241,500 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-30
Where this pay comes from
Location as the employer wrote it: US, CA, Santa Clara (Levels 3-4 combined)
152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.